Triple

T11031362
Position Surface form Disambiguated ID Type / Status
Subject Northern Arizona E260764 entity
Predicate contains P35 FINISHED
Object Flagstaff E56886 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Flagstaff | Statement: [Northern Arizona, contains, Flagstaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flagstaff
Context triple: [Northern Arizona, contains, Flagstaff]
  • A. Flagstaff chosen
    Flagstaff is a high-elevation city in northern Arizona known for its proximity to the Grand Canyon, its historic Route 66 corridor, and its role as a center for astronomy and outdoor recreation.
  • B. Flagstaff
    Flagstaff is an underground railway station on the City Loop in Melbourne, Australia, serving the western end of the central business district.
  • C. Prescott
    Prescott is an Intel Pentium 4 microprocessor core known for introducing several new instruction set extensions and being manufactured on a 90 nm process.
  • D. Prescott
    Prescott is a small town in Eastern Ontario, Canada, situated along the St. Lawrence River and known historically as a strategic military and shipping point.
  • E. Prescott
    Prescott is an English-origin surname borne by various notable individuals across politics, sports, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e58aec8190bb8ffdc71c0614d2 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4831ba3688190bee08ca29872ab3b completed April 19, 2026, 7:24 a.m.
Created at: April 8, 2026, 9:25 p.m.